Raole vidhiba ( Major -2 )

                                Essay 

Topic : natural language processing with part on speech . 

What is POS Tagging in NLP?

Part of Speech (POS) Tagging is the process of labeling each word in a given text with its corresponding grammatical category based on its definition and context.

Noun (NN): Represents a person, place, thing, or idea. Example: computer, London, user.

Verb (VB): Represents an action, state, or event. Example: run, analyze, process.

Adjective (JJ): Modifies or describes a noun. Example: fast, smart, efficient.

Adverb (RB): Modifies a verb, adjective, or another adverb. Example: quickly, accurately.

2. Importance of POS Tagging in NLP

Word Sense Disambiguation: Resolves ambiguity when a word can act as different parts of speech depending on context.

In "I book a flight", the word book is a Verb.

In "I read a book", the word book is a Noun.

Intent Recognition: Allows NLP systems to separate the intended action (Verb) from the object being acted upon (Noun).

Information Extraction: Helps extract key entities, relationships, and structured facts from unstructured text.

3. Example Breakdown

Sentence: "The smart bot answers queries quickly."

smart: Adjective (JJ) — Describes the noun "bot".

bot: Noun (NN) — The subject performing the action.

answers: Verb (VB) — The main action being performed.

queries: Noun (NNS) — The plural object receiving the action.

quickly: Adverb (RB) — Describes how the action is being performed.

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